Category: Explain basic virtualization concepts

  • Artificial Intelligence (AI) for Robotics Training Course

    Overview Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to: Implement […]

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  • AI in Digital Marketing Training Course

    Overview AI (Artificial Intelligence) is intelligence for machines to accomplish specific tasks by recognizing patterns in data. AI enables users to growth hack the success of digital marketing campaigns. This instructor-led, live training (online or onsite) is aimed at marketers who wish to use AI to improve improve digital marketing strategies through valuable customer insights. […]

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  • Intelligent Testing Training Course

    Overview Software testing is the process of evaluating the validity of a software application’s functionality. Integrating artificial intelligence into the software testing environment enables the process to be AI driven, speeding up authoring, execution, and maintenance of tests. This instructor-led, live training (online or onsite) is aimed at software testers who wish to have an […]

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  • UiPath for Intelligent Process Automation (IPA) Training Course

    Overview Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end […]

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  • AI in business and Society & The future of AI – AI/Robotics Training Course

    Overview This is a classroom based training session in a presentation and Q&A format Course Outline Introduction Impacts of AI technologies on human society Expectations and concerns regarding AI technologies Features of AI technologies differ from previous technologies AI and the Macroeconomy- technology and productivity growth Labor and automation Research by Sector and Task AI and […]

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  • Genetic Algorithms Training Course

    Overview This four day course is aimed at teaching how genetic algorithms work; it also covers how to select model parameters of a genetic algorithm; there are many applications for genetic algorithms in this course and optimization problems are tackled with the genetic algorithms. Requirements Basic understanding of search problems and optimization Course Outline Day […]

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  • Applied AI from Scratch in Python Training Course

    Overview This is a 4 day course introducing AI and it’s application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course. Course Outline Supervised learning: classification and regression Machine Learning in Python: intro to the scikit-learn API linear and logistic […]

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  • Deep Reinforcement Learning with Python Training Course

    Overview Deep Reinforcement Learning refers to the ability of an “artificial agent” to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human’s ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning […]

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  • IBM Cloud Pak for Data Training Course

    Overview IBM Cloud Pak for Data is a multi-cloud software platform for collecting, organizing and analyzing data for use in AI. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions. By the end of this training, participants […]

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  • Deep Learning for Telecom (with Python) Training Course

    Overview Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code […]

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